Corpus Linguistics and Statistics with R
Introduction to Quantitative Methods in Linguistics
Authors: Desagulier, Guillaume
Free Preview- Accessible introduction to quantitative methods for linguistics with emphasis on learning the methods and then applying them with R
- Includes downloadable supplementary materials for readers
- Suitable for advanced undergraduate courses, graduate courses, and self-study
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- About this Textbook
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This textbook examines empirical linguistics from a theoretical linguist’s perspective. It provides both a theoretical discussion of what quantitative corpus linguistics entails and detailed, hands-on, step-by-step instructions to implement the techniques in the field. The statistical methodology and R-based coding from this book teach readers the basic and then more advanced skills to work with large data sets in their linguistics research and studies. Massive data sets are now more than ever the basis for work that ranges from usage-based linguistics to the far reaches of applied linguistics. This book presents much of the methodology in a corpus-based approach. However, the corpus-based methods in this book are also essential components of recent developments in sociolinguistics, historical linguistics, computational linguistics, and psycholinguistics. Material from the book will also be appealing to researchers in digital humanities and the many non-linguistic fields that use textual data analysis and text-based sensorimetrics. Chapters cover topics including corpus processing, frequencing data, and clustering methods. Case studies illustrate each chapter with accompanying data sets, R code, and exercises for use by readers. This book may be used in advanced undergraduate courses, graduate courses, and self-study.
- About the authors
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Guillaume Desagulier is an Associate Professor of English grammar and linguistics at Paris 8 University and President of the French Cognitive Linguistics Association (2015-).
- Reviews
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“The fine expository qualities of CLSR, together with the sheer enthusiasm and generosity of its author, do everything to encourage its readers to use the rich and various resources R makes available to explore and discover new ways of addressing familiar problems.” (Graham Ranger, Corpora, Vol. 14 (2), 2019)
- Table of contents (10 chapters)
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Introduction
Pages 1-12
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R Fundamentals
Pages 15-49
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Digital Corpora
Pages 51-67
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Processing and Manipulating Character Strings
Pages 69-86
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Applied Character String Processing
Pages 87-114
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Table of contents (10 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Corpus Linguistics and Statistics with R
- Book Subtitle
- Introduction to Quantitative Methods in Linguistics
- Authors
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- Guillaume Desagulier
- Series Title
- Quantitative Methods in the Humanities and Social Sciences
- Copyright
- 2017
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing AG
- eBook ISBN
- 978-3-319-64572-8
- DOI
- 10.1007/978-3-319-64572-8
- Hardcover ISBN
- 978-3-319-64570-4
- Softcover ISBN
- 978-3-319-87823-2
- Series ISSN
- 2199-0956
- Edition Number
- 1
- Number of Pages
- XIII, 353
- Number of Illustrations
- 43 b/w illustrations, 55 illustrations in colour
- Topics
*immediately available upon purchase as print book shipments may be delayed due to the COVID-19 crisis. ebook access is temporary and does not include ownership of the ebook. Only valid for books with an ebook version. Springer Reference Works are not included.
